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Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a As a Key Solutions Architect- Prompt, you will be tasked with supporting AI Security business (Prompt Security), you are the embedded technical consultant for our post-sales technical resource, guiding enterprise customers through deployment, onboarding, and long-term success on our platform. You'll work alongside senior Solutions Architects and Account teams, assisting in ad hoc troubleshooting and taking ownership of your own accounts as you build experience while getting mentorship on more complex engagements.

We are looking for an experienced engineer to work on systems that bring together many moving parts. Inertial sensors, visual sensors, wireless radios such as UWB, Bluetooth, and Wi-Fi, GNSS, and on-device processing all come together here, and much of what these systems do emerges from the interaction between those pieces rather than from any one of them alone. Understanding that interaction is most of the work, and it is what makes the problems here genuinely interesting.

The role has two sides, and we mean both of them equally. You will help decide how a system is put together: where functionality should live, how the components talk to each other, and what we trade away to get what we need. You will also be the one who builds it, writing production code, bringing up new hardware, and chasing down the failures that only appear on real devices. We have found that these two things belong together. The best designs come from people who have built the system, and the best implementations come from people who understand the whole of it.

Responsibilities
Help define the architecture of multi-component location systems spanning hardware, firmware, and software, and implement the interfaces that hold them together.
Write, review, and maintain production-quality code in C++, Objective-C, and Swift for systems that ship to our customers.
Design and implement how inertial, visual, and wireless sensing come together into a system that behaves as one.
Integrate and bring up new hardware and software components, working through the problems that only surface on real devices.
Weigh the tradeoffs between accuracy, latency, power, memory, and reliability, and bring partner teams along with your reasoning.
Debug complex issues across the full stack, where the root cause could sit anywhere from the sensor to the application.
Take new technologies from early prototype through evaluation and into production, fusing them with our existing capabilities.
Collaborate with silicon, hardware, firmware, and algorithms teams from first concept through shipping.
Build the tooling and instrumentation that let us characterize how a system really behaves, with data rather than intuition.
Participate in evaluating new signals and technologies as our platforms continue to evolve.

We are seeking a Principal Security Researcher to set the technical direction for a critical area of our identity protection charter, drive multi-quarter research agendas end-to-end, and raise the bar of the team through mentorship and influence. You will partner with engineering, PM, data science, and other research teams across us to shape strategy, and you will represent our research externally through publications, talks, and industry engagement. We expect our Principal researchers to fluently leverage Generative AI and to actively shape how the team applies it - turning AI assistance into a durable force multiplier across investigation, detection authoring, and customer protection at our scale.

Responsibilities

Set the technical direction for a major area of our identity protection research charter, owning the multi-quarter strategy from threat landscape framing to shipped detection and measurable customer protection impact.

Drive multiple concurrent end-to-end research initiatives, breaking ambiguous problems into tractable workstreams and unblocking the team on the hardest technical questions.

Lead deep investigation and research of data across identity and adjacent sources to surface novel threats, attacker tradecraft, and detection opportunities others miss.

Stay ahead of the evolving attacker landscape and design robust, sophisticated detection logics across the entire kill-chain - raising the bar on quality, coverage, and resilience to attacker evasion.

Influence across organizational boundaries - partner with product management, engineering, data science, and peer research teams to shape product strategy, define new identity protection capabilities, and align roadmaps on a data-driven foundation.

Mentor and grow other researchers (IC3-IC4), elevating the technical bar of the team through code/design review, research coaching, and apprenticeship on complex investigations.

Shape how the team and discipline leverage Generative AI - define patterns, evaluate tools, and build durable AI-assisted workflows that scale research throughput across data triage, hypothesis generation, code and KQL authoring, and detection synthesis.

Represent our Security externally through high-quality research publications, conference talks, blog posts, and engagement with the broader security research community.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Software Engineer, you will be tasked with exploring new technologies to design and develop innovative ideas from scratch in the Linux security domain. You will drive new detection capabilities and infrastructure at scale for our products, leveraging your deep technical expertise. We are looking for a talented individual who can turn complex security challenges into scalable, high-impact solutions.

As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Software Engineer in the Detection Platform group, you will be tasked with participating in the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
This position represents Prompt Security, our comprehensive GenAI security platform, helping enterprise organizations safely and efficiently adopt GenAI. The company was recently acquired , the AI cybersecurity leader, to further advance its Generative AI and Agentic AI security strategy.
we are seeking a Sales Engineer to join our EMEA go-to-market team. You'll be navigating an exciting landscape where innovation is constant, and the ability to adapt and iterate quickly is not just an advantage-it's a necessity. In this role, you will be instrumental in driving technical pre-sales activities, helping customers understand and implement our GenAI security solutions across various use cases. We're looking for someone who thrives in fast-paced environments, someone eager to tackle new challenges and pivot with ease. This is more than a job; it's a journey into the future of cybersecurity, offering unparalleled opportunities for growth, learning, and impact.

As part of our team, you'll collaborate with software engineers, program managers, security researchers, and data science experts to develop solutions that protect, detect, and respond to evolving cybersecurity threats.  

Responsibilities
As a Software Engineer you will:

Contribute to business-critical initiatives in our Security.

Requiring deep technical skills and the ability to quickly adapt to new areas.

Improve the end-to-end lifecycle of services.

Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.

Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.

Collaborate with multiple teams across us to deliver key customer solutions and support technology.

Leverage AI and AI-assisted engineering tools (such as GitHub Copilot) in your day-to-day work to accelerate development, automate routine tasks, and improve code quality - while exploring opportunities to integrate AI capabilities into the services you build.

we are looking for a Staff Endpoint Software Engineer, Prompt.
As a Staff Backend Software Engineer, youll build the lightweight security components that power our Generative AI Security platform. This includes developing core sensors and enforcement mechanisms that operate across diverse environments-from endpoints and browsers to production workloads-enabling real-time, adaptive security. Youll collaborate with expert engineers, tackle high-impact security challenges, and expand your expertise in AI security, helping to shape the next generation of protection at scale.

We are seeking an experienced Project Manager to lead complex technological projects in the cellular and telecommunications industry.
Areas of Responsibility:
End-to-End (E2E) Project Management: Initiation, planning, execution, implementation, and delivery.
Leading complex engineering/technological projects in a multi-interface environment
Gathering and analyzing requirements, formulating solutions, and driving decision-making processes.
Working with suppliers, contractors, and internal stakeholders, matrix management of professional teams.
Managing timelines, budgets, risks, and milestones.
Preparing specification documents, work plans, and status/progress reports for management.
Monitoring milestones and payments according to project progress.

The Solution Engineer will be the primary technical sales resource for our regional sales team and will assist in identifying customer challenges and driving technical alignment between customer needs and the solutions. You will serve as a product and industry expert, effectively describing and demonstrating our solution as well as promoting our vision and approach. You will be a trusted point of contact for our customers while advancing the sales process.

At the same time, you will be a liaison to the engineering team to drive the direction of the product. The ideal candidate will have previous work experience as a member of a corporate sales team and a career track record of supporting large and complex enterprise sales.

What You Will be Doing

Work with the sales team as well as partners to drive Enterprise business
Manage customer requirements, expectations, and solution buy-in
Build customers confidence and awareness in our products/solutions
Manage, deliver, and present detailed responses to industry RFPs
Train and certify resellers and partners
Present at Conferences and Seminars
Support proof of concepts, implementations and installs as needed to successfully satisfy customer requirements

We are looking for a skilled Malware Reverse Engineer to join our group. In this role, you'll analyze emerging cyber threats, dissect sophisticated malware families, and transform your technical findings into actionable insights.

In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence

In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Software Engineer in the Detection Platform group, you will be responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will participate in the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide.